A feather‐precipitation hydrogen isoscape model for New Zealand: implications for eco‐forensics
Bibliographic record
Abstract
Feathers were sampled from extant museum archived birds of known origin to determine feather hydrogen isotopes (δ 2 H f ) in order to assign their origin and location over time by a comparison with a recently constructed model precipitation (δ 2 H p ) isoscape. We used feathers from two non‐migratory bird species that are widely distributed around New Zealand, Tui ( Prosthemadera novaeseelandiae ) and California Quail ( Callipepla californica ). Feathers were sampled from archived birds that were collected between 1880 and 2006 obtained from three New Zealand museum collections located at Auckland, Wellington and Christchurch. Forensic isotopic assays of feather from known locations were compared with the precipitation isoscape model with the aim of establishing a relationship which could be applied to link feathers from unprovenanced historical Māori cloaks held in museums to their region of manufacture (and potentially an associated tribe or iwi ) in New Zealand. In order to test this approach, we assessed the modelled δ 2 H p values within the distribution area of each tribe. Distribution areas of tribes were isotopically different and in the future, this tool will help to link to feathers from historical artefacts, reconnecting them to their tribal origin.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".